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08/04/2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
Time series remains one of the most challenging modalities in machine le...
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02/27/2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning
Federated learning (FL) has emerged as a new paradigm for privacy-preser...
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11/07/2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
Domain generalization (DG) aims to learn a generalizable model from mult...
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09/15/2022
Generalized Representations Learning for Time Series Classification
Time series classification is an important problem in real world. Due to...
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09/01/2022
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution
The distribution shifts between training and test data typically undermi...
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07/25/2022
Domain-invariant Feature Exploration for Domain Generalization
Deep learning has achieved great success in the past few years. However,...
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07/21/2022
Domain Generalization for Activity Recognition via Adaptive Feature Fusion
Human activity recognition requires the efforts to build a generalizable...
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06/17/2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare
Federated learning has attracted increasing attention to building models...
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06/14/2022
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition
It is expensive and time-consuming to collect sufficient labeled data to...
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12/01/2021
Federated Learning with Adaptive Batchnorm for Personalized Healthcare
There is a growing interest in applying machine learning techniques for ...
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06/02/2021
